Triple
T9754019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mater |
E236509
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Jorgen Klubien |
E827495
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Jorgen Klubien | Statement: [Mater, creator, Jorgen Klubien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jorgen Klubien Context triple: [Mater, creator, Jorgen Klubien]
-
A.
Jorgen Klubien
chosen
Jorgen Klubien is a Danish storyboard artist, animator, and screenwriter known for his work on major animated films at studios like Disney and Pixar.
-
B.
Klaus Lange
Klaus Lange is a German politician who served as a member of the Bundestag representing the Social Democratic Party (SPD).
-
C.
Joachim Lemelsen
Joachim Lemelsen was a German Wehrmacht general during World War II who held several high-ranking field commands on the Eastern and Italian fronts.
-
D.
Carl Kjeldsberg
Carl Kjeldsberg is a pathologist and academic leader best known as a co-founder of ARUP Laboratories, a major national clinical and anatomic pathology reference laboratory.
-
E.
Jürgen Marcussen
Jürgen Marcussen was a Danish organ builder best known as the founder of the renowned pipe organ manufacturing firm Marcussen & Søn.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84d4eddc8190996fec1417d2bae8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9fb01ad08190b2435fa505c622bc |
completed | April 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d048c5081908c891633129dc5d6 |
completed | April 5, 2026, 7:19 a.m. |
Created at: March 30, 2026, 8:24 p.m.